Data Scientist - Experimentation and Causal Inference
Drive the research direction in developing methods and tools that increase the rigor and efficiency of our experimentation platform and analyses that are constructed using causal inference techniques. Lead education initiatives by conducting literature reviews and by promoting the adoption of good statistical practices through efforts such as instructing at Twitter University and building new processes. Write and collaborate on production code in Scala to implement new methods. Consult with other teams across Twitter on complicated experimental designs and on analyses estimating causal effects.
4+ years of total experience
Significant experience with methods for experimental design, observational causal inference
Track record for executing independent projects and leading complex, multi-functional projects with several dependencies.
Excitement to work with production engineering systems that are written in Scala and Scalding
Experience with scaling experimentation systems and Spark is a plus.
Sql
Python
R
A/B testing
Spark
Time Management Skills
Quasi-experimental analysis
Statistical surrogate modeling
Verbal communication
Detail Oriented
written communication
Self-Driven
Problem Solving Skills
Multi-tasking
Flexiblility
According to JobzMall, the average salary range for a Data Scientist - Experimentation and Causal Inference in 675 Ponce De Leon Ave NE, Atlanta, GA 30308, USA is between $90,000 and $140,000 per year. This range may vary depending on experience, qualifications, and other factors.
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